As a Data Scientist at Ericsson, you will leverage scientific methods, processes, and systems to uncover valuable insights and solve real-world business problems. Your expertise in machine learning (ML) will be crucial in designing and implementing innovative AI/ML solutions aligned with Ericsson’s high standards for architecture and coding. You will play a key role in transforming data into actionable strategies, empowering the organization to stay at the forefront of analytics and AI advancements.
What You Will Do
- Analyze and optimize technical requirements, ensuring the seamless management of constraints and challenges.
- Build and deploy various machine learning models, such as predictive models, recommendation engines, anomaly detection systems, statistical models, and deep learning solutions.
- Utilize programming languages like Python, PySpark, and SQL to develop and implement machine learning solutions on both on-premise and cloud-based infrastructures.
- Collaborate closely with business leaders to define success metrics and tailor ML solutions to meet business objectives.
- Mentor junior data scientists and cultivate a thriving community of machine learning enthusiasts within Ericsson.
The Skills You Bring
- 6+ years of hands-on experience in Data Science, particularly in Python, Tableau, Power BI, and GCP with a strong focus on Data Analytics.
- Deep understanding of Business Intelligence and an ability to translate data insights into impactful business decisions.
- Expertise in Machine Learning Algorithms, AI systems, and Cloud Development.
- Strong foundation in Statistics, Data Preprocessing, and Software Engineering.
- Familiarity with Ericsson’s Business Intelligence and Analytics Competence and proficiency with open-source programming languages.
- Ability to manage and process large datasets while ensuring data accuracy and quality.
- Collaborative mindset with excellent communication skills to work effectively with cross-functional teams.
Why Join Ericsson?
At Ericsson, you will be part of a dynamic, innovative environment where your contributions will directly impact the future of analytics and AI within the organization. We provide an inclusive workplace that fosters growth, mentorship, and opportunities to advance your skills in the rapidly evolving field of data science.